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From |
<kirin_guess@yahoo.com.tw> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: How does Stata’s ml handle missing log-likelihood values? |

Date |
Fri, 12 Apr 2013 03:54:15 +0100 |

Dear Statlist,

I’d like to know how the ml handles missing log-likelihood values.

Although the model always converged and returned estimates in the end, I’m not sure whether those estimates were valid.

and what I should do to deal with this problem (if it is a problem.)

quite different from the estimates returned by “ml max, search(off)”. (Both of commands can achieve convergence criteria.)

Thank for your helps.

* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**st: Re: st: How does Stata’s ml handle missing log-likelihood values?***From:*Maarten Buis <maartenlbuis@gmail.com>

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